This file 01_ReadMe_Unlocking_history_through_automated_virtual_unfolding_of_sealed_documents_imaged_by_X-ray_microtomography.txt was generated on 2020-11-10 by JANA DAMBROGIO and DANIEL STARZA SMITH.

GENERAL INFORMATION

1. Title of Dataset: “01_ReadMe_Unlocking_history_through_automated_virtual_unfolding_of_sealed_documents_imaged_by_X-ray_microtomography” https://doi.org/10.7910/DVN/H2NUGV, Harvard Dataverse.

2. Author Information 
        A. Principal Investigators (Letterlocking) Contact Information
                Name: Jana Dambrogio and Daniel Starza Smith (Unlocking History)
                Institution: Massachusetts Institute of Technology and King’s College London
		Addresses: 77 Massachusetts Avenue, Building 14-0513, Cambridge, MA 02139, USA; and, English Department, King’s College London, Virginia Woolf Building 7.15, 22 Kingsway, London, WC2B 6LE, United Kingdom.
                Email: jld@mit.edu, daniel.s.smith@kcl.ac.uk 

        B.  Principal Investigators (Algorithm) Contact Information
		Name: Amanda Ghassaei, Holly Jackson, Erik Demaine, Martin Demaine
        	Institution: Massachusetts Institute of Technology
                Address: 77 Massachusetts Avenue, Cambridge, MA 02139, USA
		Email: amanda.ghassaei@cba.mit.edu, hjackson@mit.edu, edemaine@mit.edu, mdemaine@mit.edu  

        C. Principal Investigators (X-ray micro-tomography – XMT) Contact Information
                Name: Graham Davis and David Mills
                Institution: Queen Mary, University of London
                Address: Dentistry, Francis Bancroft Building, Mile End Campus, London E1 4NS
                Email: g.r.davis@qmul.ac.uk, d.mills@qmul.ac.uk 

        D. Principal Investigators (Signed, Sealed, and Undelivered research team) Contact Information
		Name: Rebekah Ahrendt
		Institution: Utrecht University, Department of Media and Culture Studies
		Address: Muntstraat 2A, 3512 EV Utrecht, The Netherlands
		Email: r.s.ahrendt@uu.nl 

		Name: Nadine Akkerman
		Institution: Leiden University, English Department and Leiden University Centre for the Arts in Society (LUCAS), Leiden, Faculty of Humanities / English Literature
		Address: Witte Singel Complex, P.N. van Eyckhof 4, 2311 BV Leiden, The Netherlands.
		Email: n.n.w.akkerman@hum.leidenuniv.nl 

		Name: David van der Linden
		Institution: Radboud University, Faculty of Arts, Department of History, Art History and Classics
		Address: PO Box 9103, 6500 HD Nijmegen, The Netherlands.
		Email: d.vanderlinden@let.ru.nl 

		Name: Jana Dambrogio and Daniel Starza Smith, details as above.

3. Date of data collection (single date, range, approximate date): 
2013–2020. 

4. Geographic location of data collection: 
The Hague, The Netherlands; London, United Kingdom; Cambridge, Massachusetts, United States of America. 

5. Information about funding sources that supported the collection of the data: 
The Signed, Sealed, and Undelivered project was supported by an Internationalization in the Humanities Grant from the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Dutch Research Council; project code 236-69-010); Metamorfoze; and Sound and Vision The Hague. Letterlocking research was supported by The Seaver Institute; MIT Libraries; the MIT Undergraduate Research Opportunity Program (UROP); The Gladys Krieble Delmas Foundation; The British Academy; The John Fell Fund at Oxford University Press; The Zilkha Fund at Lincoln College, University of Oxford; and three sources at King’s College London: the English Department; the International Collaboration Fund, Faculty of Arts and Humanities; and the King’s Undergraduate Research Fellow (KURF) scheme. Algorithm research received support from Adobe Research and sponsors of the MIT Centre for Bits and Atoms. 


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: 
Digital images of Brienne Collection letters are reproduced and stored here by permission of Sound & Vision, The Hague. They can be accessed for non-commercial use under a Creative Commons Attribution–NonCommercial 3.0 License. Permission for commercial use must be sought from Sound & Vision, The Hague.
Letterlocking instructional resources can be accessed for non-commercial use under a Creative Commons Attribution–NonCommercial 3.0 License. Permission for commercial use must be sought from the Unlocking History Research Group. 
Copyright © 2021-01-28 MASSACHUSETTS INSTITUTE OF TECHNOLOGY. Licensed under a Creative Commons Attribution 4.0 International License except where otherwise noted.

2. Links to publications that cite or use the data: 
https://rdcu.be/cf4jH

3. Links to other publicly accessible locations of the data: 
See individual ReadMe files as relevant.

4. Links/relationships to ancillary data sets: 
N/a.

5. Was data derived from another source?
No.

6. Recommended citation for this dataset: 
Dambrogio, Jana; Starza Smith, Daniel; Ghassaei, Amanda; Jackson, Holly; Demaine, Erik; Demaine, Martin; Davis, Graham; Mills, David; Ahrendt, Rebekah; Akkeman, Nadine; van der Linden, David, 2020, "01 ReadMe Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography", https://doi.org/10.7910/DVN/H2NUGV, Harvard Dataverse.


DATA & FILE OVERVIEW

1. File/Dataset List: 
* File. "01 ReadMe Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography", https://doi.org/10.7910/DVN/H2NUGV, Harvard Dataverse. Description: this file you are reading right now. 
* Dataset. "02 Algorithm Data Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography", https://doi.org/10.7910/DVN/WRJ2LE, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Spreadsheet and images folder 01/16, trunk and letters DB-0001–DB-874", https://doi.org/10.7910/DVN/EIHXVE, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 02/16, DB-0874_2–DB-0903", https://doi.org/10.7910/DVN/RFLIXK, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 03/16, DB-0904–DB-0987", https://doi.org/10.7910/DVN/TGMXFC, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 04/16, DB-0988–DB-1109_03", https://doi.org/10.7910/DVN/JFUVHQ, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 05/16, DB-1110–DB-1241_01", https://doi.org/10.7910/DVN/E8XEMQ, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 06/16, DB-1241_02–DB-1339_06", https://doi.org/10.7910/DVN/SXOLGY, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 07/16, DB-1339_07–1455_01", https://doi.org/10.7910/DVN/NGNL1S, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 08/16, DB-1455_02–DB-1564_01", https://doi.org/10.7910/DVN/ZL1EUA, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 09/16, DB-1564_02–DB-1658_01", https://doi.org/10.7910/DVN/2CPWNS, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 10/16, DB-1659_01–DB1745_02", https://doi.org/10.7910/DVN/2LDYSY, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 11/16, DB-1746_01–DB-1867_03", https://doi.org/10.7910/DVN/AKABMG, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 12/16, DB-1868–DB-1963_03", https://doi.org/10.7910/DVN/ZBKRYO, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 13/16, DB-1964_01–DB-2063_05", https://doi.org/10.7910/DVN/3VTHVI, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 14/16, DB-2064_01–2155_03", https://doi.org/10.7910/DVN/VHJ38I, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 15/16,  DB-2156_01 – DB2240_06", https://doi.org/10.7910/DVN/RELLI1, Harvard Dataverse
* Dataset. "03 Brienne Collection letterlocking data: Images folder 16/16, DB-2241_01–DB2293, DB-10011–10046, 90002–90010”, https://doi.org/10.7910/DVN/K4CLGE, Harvard Dataverse
* Dataset. "04 Figure 1 in Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography", https://doi.org/10.7910/DVN/1ARFP7, Harvard Dataverse
* Dataset. "05 Virtual Unfolding Results", https://doi.org/10.7910/DVN/QXQ39L, Harvard Dataverse
* Dataset. "06 Virtual Unfolding Code", https://doi.org/10.7910/DVN/VBWOI6, Harvard Dataverse
* Dataset. "07 Letterlocking Categories and Formats Chart”, https://doi.org/10.7910/DVN/LZLIG4, Harvard Dataverse.
* Dataset. “8 Foldable: Modelled after Brienne Collection DB1538 (UH0218), Letterlocking Instructional Resources", https://doi.org/10.7910/DVN/M7LHLZ, Harvard Dataverse
* Dataset. “9 Foldable: Modelled after Brienne Collection DB1627 (UH0217), Letterlocking Instructional Resources", https://doi.org/10.7910/DVN/H37RWS, Harvard Dataverse
* Dataset. “10 Foldable: Launch Little Book of Locks (UH6089), with Categories and Forms Chart”. Letterlocking Instructional Resources.", https://doi.org/10.7910/DVN/J11RH7, Harvard Dataverse

2. Relationship between files, if important: 
Datasets with titles beginning “03” contain images of Brienne Collection letters numbered sequentially. 

3. Additional related data collected that was not included in the current data package: 
Follow this DOI link https://doi.org/10.7910/DVN/H2NUGV to access up-to-date screen reader and description instructions related to this document at Harvard Dataverse. 

4. Are there multiple versions of the dataset? yes/no
See individual ReadMe files as relevant.


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
Please see Dambrogio, Ghassaei, Smith, Jackson et al, Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography, Nature Communications.

2. Methods for processing the data: 
See individual ReadMe files as relevant.

3. Instrument- or software-specific information needed to interpret the data: 
See individual ReadMe files as relevant.

4. Standards and calibration information, if appropriate: 
See individual ReadMe files as relevant.

5. Environmental/experimental conditions: 
See individual ReadMe files as relevant.

6. Describe any quality-assurance procedures performed on the data: 
See individual ReadMe files as relevant.

7. People involved with sample collection, processing, analysis and/or submission: 
See individual ReadMe files as relevant. ReadME files edited by Laura Bergemann. 